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DBMS > Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. MongoDB

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. MongoDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceMicrosofts flagship relational DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score37.96
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score919.39
Rank#3  Overall
#3  Relational DBMS
Score455.18
Rank#5  Overall
#1  Document stores
Websiteazure.microsoft.com/­services/­cosmos-dbwww.microsoft.com/­en-us/­sql-serverwww.mongodb.com
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.mongodb.com/­manual
DeveloperMicrosoftMicrosoftMongoDB, Inc
Initial release201419892009
Current releaseSQL Server 2022, November 20226.0.1, August 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSQL-like query languageyesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSON
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresJavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScript
TriggersJavaScriptyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server EditionMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft SQL ServerMongoDB
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